Code Development
Experimental Data Generation and Preprocessing
- Summary: This code is intended to provide a simplified means of interfacing between experimental users, NIMBUS robots (using .xls files as input), and a final data format that can be parsed and interpreted into a JSON file format. The code utilizes google API at multiple points for data handling, human interfacing and data lookup from manually developed chemical dictionaries.
2) Experiment Data Post-Processing / Data Set Generation
- Summary:
Dark Reactions Project
1) Database Architecture - Outline and overview of DRP
2) ChemAxon / Chemspider / Feature Database integration
4) Experimental Recommendation System
5) Tutorials
- Principled Approach
- Python
- SQL
- Bash